High-resolution image generation using warping transformations

Scarmana, Gabriel (2009) High-resolution image generation using warping transformations. In: 2009 International Conference on Signal Processing and Multimedia Applications (SIGMAP 2009) , 7-10 July 2009, Milan, Italy.


In recent years the emphasis for applications of 3D modelling has shifted from measurement to visualization. New communication and visualization technologies have created an important demand for photo-realistic content in 3D real-time animations, interactive fly-overs and walk-arounds, panoramic images, visualizations and simulations based on real-world data.

These image-based approaches require acquisition procedures that are simple and flexible with the use of consumer photo- or video-cameras. Ideally the user should be able to move freely while acquiring the images with any device ranging from a mobile phone to a video camera. In this context, a device independent algorithm for the estimation of an enhanced resolution image from multiple low-resolution and distorted compressed video images having arbitrary views is proposed in this paper.

This process of spatial image enhancement is demonstrated here in a controlled scenario whereby the different views of the same scene are warped, firstly, to a common orientation so that a rigorous least squares area-based matching technique can then compute the registration parameters needed for their accurate combination. The sequence is acquired using a digital camera in video mode, which samples the image of a static scene from different angles.

The warping is an iterative process relying on manual intervention and is used here to compensate for the different range of scales and orientations of the low-resolution imagery. Once this imagery is brought into registration and complies with pre-established image correlation criteria, they are combined to recover a high-resolution composite. Although the quality and resolution of the sensor arrays used to capture digital data continue to evolve, it is important that any technique used to enhance spatial resolution must be device independent, thus capable of using input from not only low-resolution images but also from higher resolution devices.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright c SciTePress.
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 05 Nov 2018 01:21
Last Modified: 03 Apr 2019 00:19
Uncontrolled Keywords: warping transformations, digital image enhancement, sub-pixel registration
Fields of Research (2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4699 Other information and computing sciences > 469999 Other information and computing sciences not elsewhere classified
40 ENGINEERING > 4013 Geomatic engineering > 401304 Photogrammetry and remote sensing
46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460306 Image processing
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
E Expanding Knowledge > 97 Expanding Knowledge > 970104 Expanding Knowledge in the Earth Sciences
Identification Number or DOI: https://doi.org/10.5220/0002225900490056
URI: http://eprints.usq.edu.au/id/eprint/35060

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